Summary LlamaIndex Webinar: Graph Databases, Knowledge Graphs, and RAG with Wey (NebulaGraph) - YouTube (Youtube) www.youtube.com
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33 word summary
This LlamaIndex webinar discusses the practical use cases for graph databases and compares them to other types of databases. It focuses on their relevance to augmented retrieval instances with Q&A and chatbot applications.
43 word summary
This LlamaIndex webinar focuses on graph databases and their relevance to augmented retrieval instances with Q&A and chatbot applications. The speaker discusses the practical use cases for graph databases and compares them to other types of databases, mentioning that there are around 20
253 word summary
In this LlamaIndex webinar, Way from NebulaGraph discusses graph databases and their relevance to augmented retrieval instances with Q&A and chatbot applications. Way explains that the concept of graphs originated from the study of the Seven Bridges of Konigsberg problem
In this webinar, the speaker discusses the use of graph databases, knowledge graphs, and RAG (Reg, Acc, Graph) with Wey (NebulaGraph). They demonstrate how they leverage LlamaIndex to extract entity and relationship information from
In this excerpt, the speaker discusses the practical use cases for graph databases and compares them to other types of databases. They mention that there are around 20 existing solutions that leverage the capabilities of graph databases, such as fraud detection and user system identification.
In this webinar excerpt, the speaker discusses the use of graph databases and knowledge graphs in real-time querying and analysis. They explain that while traditional databases can store graph structures, they struggle with complex connections and high concurrency. The speaker also mentions the advantages of
The speaker discusses the use of knowledge graphs and graph databases in scientific research. They mention that while vector-based searching is effective, knowledge graphs can provide additional information. They suggest that combining both approaches can yield better results. The speaker also mentions the possibility of
In this webinar, the speaker discusses the LlamaIndex router and its ability to detect long questions and break them down into shorter ones. The router can then route these questions to different target query engines. The speaker also mentions the creation of a 4
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Source: https://www.youtube.com/watch?v=bPoNCkjDmco
Page title: LlamaIndex Webinar: Graph Databases, Knowledge Graphs, and RAG with Wey (NebulaGraph) - YouTube
Meta description: Wey Gu (Chief Evangelist at NebulaGraph) has been leading the charge on exploring how to combine LLMs with graph databases - graph databases enable more soph...